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Stochastic models

An application of ARX stochastic models to iris recognition

An application of ARX stochastic models to iris recognition

... A new approach for iris recognition has been presented. The novel contribution relies on the feature characterization of iris by the use of stochastic ARX models. Although experimental results show better ...

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Stochastic models of genetic circuits

Stochastic models of genetic circuits

... mathematical models in the last years that have allowed us to elucidate how life works from a systemic ...Then, stochastic models are useful as a prior test for their ...

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Comparison of particle dispersion obtained with simple stochastic models and les in pipe flow

Comparison of particle dispersion obtained with simple stochastic models and les in pipe flow

... Abstract. A hybrid Eulerian-Lagrangian approach is employed to simulate heavy particle dispersion in turbulent pipe flow. The mean flow is provided by the Eulerian simulations developed by mean of JetCode, whereas the ...

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Stochastic models for system failures - reliability and warranty analysis

Stochastic models for system failures - reliability and warranty analysis

... butions of vehicle speeds and travel times. They researched the relationship between speed and travel times and suggested which analytical techniques, on the basis of their preliminary data, were best suited to meet the ...

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Pseudospectral versus finite-difference schemes in the numerical integration of stochastic models of surface growth

Pseudospectral versus finite-difference schemes in the numerical integration of stochastic models of surface growth

... Kinetic roughening of surfaces growing in nonequilibrium conditions has been intensively studied for the past two de- cades 关 1–3 兴 . Theoretical approaches make use of both dis- crete atomistic simulations and ...

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Application of stochastic models to assess the probability of introduction and persistence of bluetongue in an area

Application of stochastic models to assess the probability of introduction and persistence of bluetongue in an area

... Probabilities of cattle and sheep being infectious viraemic in month i PVci and PVsi respectively, for i= November to April First, the probability of a cow being viraemic in month i give[r] ...

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BASIC MODELS: NEAREST NEIGHBOURS AND TREE-BASED MODELS

BASIC MODELS: NEAREST NEIGHBOURS AND TREE-BASED MODELS

... Maybe it is better to close the tree with the majority class ( Yes ), rather than choosing an attribute to continue splitting the data. Let’s suppose that data that got here was di[r] ...

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Stochastic resonance and brownian ratchets

Stochastic resonance and brownian ratchets

... Stochastic resonance (SR) also represents a physical situation in which fluctuations play a similarly constructive role. It consists of a noise assisted enhancement by which power from the whole noise spectrum is ...

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Stochastic dynamics of microcavity polaritons

Stochastic dynamics of microcavity polaritons

... the stochastic unravelling of the dynamics of an interacting many-body system embedded in a noisy ...by stochastic unravellings in ...the stochastic density matrix for the whole system plus ...

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Portfolio equity investments a stochastic approach

Portfolio equity investments a stochastic approach

... a stochastic approach, developing calculations leaf electronic Excel, relying on supplements Crystal Ball for the Monte Carlo simulation and Optquest para la optimization through heuristics goal of Branch and ...

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A stochastic T cell response criterion

A stochastic T cell response criterion

... mathematical models to test two different hypotheses: (a) the timescale of a T cell response correlates with the time it takes to have had N receptor – ligand complexes bound for at least a threshold dwell time, ...

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Sustainable inventory models

Sustainable inventory models

... The main contributions of this work are four. First, a literature review is made identifying modern sustainable inventory models and traditional inventory models. Second, for the first model (in chapter 3), ...

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An empirical application of stochastic volatility models to Latin-American stock returns using GH skew student's t-distribution

An empirical application of stochastic volatility models to Latin-American stock returns using GH skew student's t-distribution

... the stochastic volatility (SV) model, …rst introduced by Taylor (1982), then Taylor (1986) was the …rst lengthy published treatment of the problem of volatility modelling in ...family models and Shephard ...

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Visualització de models fusionats

Visualització de models fusionats

... diferents models de volum tractar-los de forma independent però sempre resulta millor considerar-los com un de ...el models poden tenir diferents resolucions, diferents orígens de coordenades, o ...

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A stochastic model updating method for parameter variability quantification based on response surface models and Monte Carlo simulation

A stochastic model updating method for parameter variability quantification based on response surface models and Monte Carlo simulation

... Parameter selection is a precondition for model updating and the response must be sensitive to parameter variations. Traditional experiential judgment is unreliable for complex structure[r] ...

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Plant survival and keystone pollinator species in stochastic coextinction models: role of intrinsic dependence on animal pollination

Plant survival and keystone pollinator species in stochastic coextinction models: role of intrinsic dependence on animal pollination

... lost is important in terms of interaction frequency. When secondary plant extinctions occur, they can in turn lead to new pollinator extinctions. Because empirical estimates of the reproductive dependence of pollinators ...

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Fate of a naive T cell: a stochastic journey

Fate of a naive T cell: a stochastic journey

... Ganusov and Auerbach (3) constructed a model, based on experimental data, in which the migration history of a T cell consists of short intervals in the blood (less than a minute each) between longer sojourns in lung, ...

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Stochastic Set PStochastic Set Packing Problemacking Problem

Stochastic Set PStochastic Set Packing Problemacking Problem

... Frequently, a number of problems that we find in the real-world present element which escape the control of the decision-maker. The uncertainty often originates from the impossibility of choosing one scenario where the ...

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Stochastic Schemes for Dynamic Network Resource Allocation

Stochastic Schemes for Dynamic Network Resource Allocation

... maximizing the functional f ( m, k, h, λ ∗ ) ; i.e., the scheduling follows a winner(s)-take-all strategy. Regarding ρ ∗ m and π m ∗ as prices for the rate and power, f ( m, k, h, λ ∗ ) determines the net utility (rate ...

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EEG signal processing based on stochastic resonance

EEG signal processing based on stochastic resonance

... of stochastic resonance was investigated, ...bistable stochastic systems fed with a small periodic signal (two-state Markov chains) with discrete and continuous time and diffusions in double-well ...

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